Overview

Dataset statistics

Number of variables12
Number of observations2184477
Missing cells14034921
Missing cells (%)53.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory200.0 MiB
Average record size in memory96.0 B

Variable types

Numeric12

Alerts

teff_best is highly overall correlated with teff_clustering and 3 other fieldsHigh correlation
teff_best_uncertainty is highly overall correlated with teff_clustering_uncertainty and 3 other fieldsHigh correlation
teff_clustering is highly overall correlated with teff_best and 5 other fieldsHigh correlation
teff_clustering_uncertainty is highly overall correlated with teff_best_uncertainty and 6 other fieldsHigh correlation
teff_flag1 is highly overall correlated with teff_best and 3 other fieldsHigh correlation
teff_flag1_uncertainty is highly overall correlated with teff_best_uncertainty and 3 other fieldsHigh correlation
teff_log is highly overall correlated with teff_best and 5 other fieldsHigh correlation
teff_log_uncertainty is highly overall correlated with teff_best_uncertainty and 6 other fieldsHigh correlation
teff_propagated is highly overall correlated with teff_best and 5 other fieldsHigh correlation
teff_propagated_uncertainty is highly overall correlated with teff_best_uncertainty and 3 other fieldsHigh correlation
teff_gaia_original has 908311 (41.6%) missing valuesMissing
teff_clustering has 1336991 (61.2%) missing valuesMissing
teff_clustering_uncertainty has 1336991 (61.2%) missing valuesMissing
teff_log has 1336991 (61.2%) missing valuesMissing
teff_log_uncertainty has 1336991 (61.2%) missing valuesMissing
teff_flag1 has 1336991 (61.2%) missing valuesMissing
teff_flag1_uncertainty has 1336991 (61.2%) missing valuesMissing
teff_propagated has 1276166 (58.4%) missing valuesMissing
teff_propagated_uncertainty has 1276166 (58.4%) missing valuesMissing
teff_best has 1276166 (58.4%) missing valuesMissing
teff_best_uncertainty has 1276166 (58.4%) missing valuesMissing
source_id has unique valuesUnique

Reproduction

Analysis started2026-02-05 09:06:10.530530
Analysis finished2026-02-05 09:07:23.892730
Duration1 minute and 13.36 seconds
Software versionydata-profiling vv4.18.1
Download configurationconfig.json

Variables

source_id
Real number (ℝ)

Unique 

Distinct2184477
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2356625 × 1018
Minimum4.6626165 × 1013
Maximum6.9175279 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:23.974709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.6626165 × 1013
5-th percentile5.2149589 × 1017
Q13.3701302 × 1018
median4.2530925 × 1018
Q35.8338197 × 1018
95-th percentile6.0706943 × 1018
Maximum6.9175279 × 1018
Range6.9174813 × 1018
Interquartile range (IQR)2.4636895 × 1018

Descriptive statistics

Standard deviation1.6746523 × 1018
Coefficient of variation (CV)0.39536962
Kurtosis-0.30613078
Mean4.2356625 × 1018
Median Absolute Deviation (MAD)1.3457523 × 1018
Skewness-0.72449709
Sum4.9276407 × 1018
Variance2.8044602 × 1036
MonotonicityStrictly increasing
2026-02-05T10:07:24.091016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.662616499 × 10131
 
< 0.1%
1.044879647 × 10141
 
< 0.1%
1.385771206 × 10141
 
< 0.1%
1.602194603 × 10141
 
< 0.1%
2.035513857 × 10141
 
< 0.1%
2.78760558 × 10141
 
< 0.1%
5.447435877 × 10141
 
< 0.1%
6.085152622 × 10141
 
< 0.1%
7.326569969 × 10141
 
< 0.1%
1.007152651 × 10151
 
< 0.1%
Other values (2184467)2184467
> 99.9%
ValueCountFrequency (%)
4.662616499 × 10131
< 0.1%
1.044879647 × 10141
< 0.1%
1.385771206 × 10141
< 0.1%
1.602194603 × 10141
< 0.1%
2.035513857 × 10141
< 0.1%
2.78760558 × 10141
< 0.1%
5.447435877 × 10141
< 0.1%
6.085152622 × 10141
< 0.1%
7.326569969 × 10141
< 0.1%
1.007152651 × 10151
< 0.1%
ValueCountFrequency (%)
6.917527894 × 10181
< 0.1%
6.917527795 × 10181
< 0.1%
6.917522774 × 10181
< 0.1%
6.917501093 × 10181
< 0.1%
6.917470723 × 10181
< 0.1%
6.917469517 × 10181
< 0.1%
6.917461927 × 10181
< 0.1%
6.917373 × 10181
< 0.1%
6.917371596 × 10181
< 0.1%
6.917365853 × 10181
< 0.1%

teff_gaia_original
Real number (ℝ)

Missing 

Distinct807893
Distinct (%)63.3%
Missing908311
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean5437.6803
Minimum2737.3044
Maximum38455.719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:24.197458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2737.3044
5-th percentile3789.1101
Q14442.339
median4997.2759
Q35820.6517
95-th percentile8716.1455
Maximum38455.719
Range35718.414
Interquartile range (IQR)1378.3127

Descriptive statistics

Standard deviation1709.5852
Coefficient of variation (CV)0.31439605
Kurtosis20.387449
Mean5437.6803
Median Absolute Deviation (MAD)652.68433
Skewness3.2784708
Sum6.9393827 × 109
Variance2922681.7
MonotonicityNot monotonic
2026-02-05T10:07:24.297232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4786.05224616
 
< 0.1%
4789.99462915
 
< 0.1%
4783.68261714
 
< 0.1%
4780.54785214
 
< 0.1%
4779.01562514
 
< 0.1%
4786.28857413
 
< 0.1%
4784.42871113
 
< 0.1%
4776.56591813
 
< 0.1%
4784.25537113
 
< 0.1%
4785.8891613
 
< 0.1%
Other values (807883)1276028
58.4%
(Missing)908311
41.6%
ValueCountFrequency (%)
2737.3044431
< 0.1%
2832.7331541
< 0.1%
2888.1638181
< 0.1%
2926.9184571
< 0.1%
2934.5930181
< 0.1%
2970.1301271
< 0.1%
2972.3908691
< 0.1%
2993.903321
< 0.1%
3000.0187991
< 0.1%
3000.8803711
< 0.1%
ValueCountFrequency (%)
38455.718751
< 0.1%
37508.285161
< 0.1%
37043.761721
< 0.1%
36013.839841
< 0.1%
35833.941411
< 0.1%
35676.441411
< 0.1%
35524.585941
< 0.1%
35505.751
< 0.1%
35458.300781
< 0.1%
35023.664061
< 0.1%

teff_clustering
Real number (ℝ)

High correlation  Missing 

Distinct845110
Distinct (%)99.7%
Missing1336991
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean4518.6889
Minimum3622.3676
Maximum31596.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:24.390169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3622.3676
5-th percentile3681.9232
Q13844.3742
median4171.0048
Q34778.5234
95-th percentile6540.3306
Maximum31596.42
Range27974.052
Interquartile range (IQR)934.14911

Descriptive statistics

Standard deviation1029.731
Coefficient of variation (CV)0.2278827
Kurtosis25.542266
Mean4518.6889
Median Absolute Deviation (MAD)396.3862
Skewness3.1525855
Sum3.8295256 × 109
Variance1060346
MonotonicityNot monotonic
2026-02-05T10:07:24.488017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3667.7952628
 
< 0.1%
3673.8215855
 
< 0.1%
3666.1958665
 
< 0.1%
3682.4589785
 
< 0.1%
3708.4991984
 
< 0.1%
3766.9130794
 
< 0.1%
3680.0898244
 
< 0.1%
3660.0395374
 
< 0.1%
3674.1626684
 
< 0.1%
3664.2891194
 
< 0.1%
Other values (845100)847439
38.8%
(Missing)1336991
61.2%
ValueCountFrequency (%)
3622.3675511
< 0.1%
3624.2211581
< 0.1%
3624.9020121
< 0.1%
3626.6000081
< 0.1%
3629.2535941
< 0.1%
3630.0188751
< 0.1%
3631.8219111
< 0.1%
3632.8366061
< 0.1%
3632.8965991
< 0.1%
3633.3974761
< 0.1%
ValueCountFrequency (%)
31596.420051
< 0.1%
31417.420521
< 0.1%
31093.736771
< 0.1%
31044.425781
< 0.1%
30967.818151
< 0.1%
30901.078091
< 0.1%
30099.169471
< 0.1%
29764.987321
< 0.1%
29666.646841
< 0.1%
29471.962221
< 0.1%

teff_clustering_uncertainty
Real number (ℝ)

High correlation  Missing 

Distinct845110
Distinct (%)99.7%
Missing1336991
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean310.23185
Minimum13.03874
Maximum7899.7039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:24.580755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum13.03874
5-th percentile60.484938
Q1127.09057
median202.40792
Q3341.13558
95-th percentile1125.1463
Maximum7899.7039
Range7886.6651
Interquartile range (IQR)214.045

Descriptive statistics

Standard deviation334.99294
Coefficient of variation (CV)1.0798148
Kurtosis19.069867
Mean310.23185
Median Absolute Deviation (MAD)94.310729
Skewness3.3333186
Sum2.6291715 × 108
Variance112220.27
MonotonicityNot monotonic
2026-02-05T10:07:24.681387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.46776438
 
< 0.1%
108.54998415
 
< 0.1%
107.47056425
 
< 0.1%
108.62322125
 
< 0.1%
154.69584624
 
< 0.1%
179.03942214
 
< 0.1%
107.05794824
 
< 0.1%
60.989630774
 
< 0.1%
110.93195634
 
< 0.1%
61.595397854
 
< 0.1%
Other values (845100)847439
38.8%
(Missing)1336991
61.2%
ValueCountFrequency (%)
13.038739831
< 0.1%
13.507425971
< 0.1%
13.874843211
< 0.1%
14.372272261
< 0.1%
14.89978431
< 0.1%
15.277955951
< 0.1%
15.366980961
< 0.1%
15.406249221
< 0.1%
16.072296071
< 0.1%
16.109390951
< 0.1%
ValueCountFrequency (%)
7899.7038611
< 0.1%
7843.5535311
< 0.1%
7801.5837341
< 0.1%
7586.5838771
< 0.1%
7300.0667631
< 0.1%
7005.7606681
< 0.1%
6993.9304481
< 0.1%
6890.9017131
< 0.1%
6850.9121731
< 0.1%
6733.9064451
< 0.1%

teff_log
Real number (ℝ)

High correlation  Missing 

Distinct835757
Distinct (%)98.6%
Missing1336991
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean4493.8706
Minimum3604.8447
Maximum31125.298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:24.776874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3604.8447
5-th percentile3678.2321
Q13814.5385
median4169.9155
Q34762.8599
95-th percentile6424.6937
Maximum31125.298
Range27520.453
Interquartile range (IQR)948.32148

Descriptive statistics

Standard deviation1018.896
Coefficient of variation (CV)0.22673017
Kurtosis26.231208
Mean4493.8706
Median Absolute Deviation (MAD)410.87108
Skewness3.2280716
Sum3.8084924 × 109
Variance1038149.1
MonotonicityNot monotonic
2026-02-05T10:07:24.867968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3675.86384930
 
< 0.1%
3669.00327916
 
< 0.1%
3676.01600216
 
< 0.1%
3679.87306414
 
< 0.1%
3674.34045813
 
< 0.1%
3667.5724912
 
< 0.1%
3678.55412312
 
< 0.1%
3685.18214112
 
< 0.1%
3674.26709512
 
< 0.1%
3678.5038911
 
< 0.1%
Other values (835747)847338
38.8%
(Missing)1336991
61.2%
ValueCountFrequency (%)
3604.8446861
< 0.1%
3606.2956681
< 0.1%
3607.2433321
< 0.1%
3607.8899721
< 0.1%
3608.4742931
< 0.1%
3608.8748581
< 0.1%
3609.9999061
< 0.1%
3610.016351
< 0.1%
3610.0307281
< 0.1%
3610.1457991
< 0.1%
ValueCountFrequency (%)
31125.297661
< 0.1%
31120.191511
< 0.1%
30968.593771
< 0.1%
30271.147911
< 0.1%
30152.175141
< 0.1%
29838.712941
< 0.1%
29320.700171
< 0.1%
29277.194271
< 0.1%
29169.421961
< 0.1%
28550.771351
< 0.1%

teff_log_uncertainty
Real number (ℝ)

High correlation  Missing 

Distinct835757
Distinct (%)98.6%
Missing1336991
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean242.74738
Minimum15.104869
Maximum7041.2418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:24.966753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum15.104869
5-th percentile63.890807
Q1120.38564
median157.03273
Q3256.94404
95-th percentile779.83258
Maximum7041.2418
Range7026.1369
Interquartile range (IQR)136.5584

Descriptive statistics

Standard deviation251.95396
Coefficient of variation (CV)1.0379266
Kurtosis34.041048
Mean242.74738
Median Absolute Deviation (MAD)52.517035
Skewness4.1872632
Sum2.0572501 × 108
Variance63480.796
MonotonicityNot monotonic
2026-02-05T10:07:25.059924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.027524430
 
< 0.1%
128.6164116
 
< 0.1%
122.983260216
 
< 0.1%
130.68750514
 
< 0.1%
125.913549213
 
< 0.1%
129.639267312
 
< 0.1%
123.123831312
 
< 0.1%
121.681674812
 
< 0.1%
132.561925312
 
< 0.1%
121.3038611
 
< 0.1%
Other values (835747)847338
38.8%
(Missing)1336991
61.2%
ValueCountFrequency (%)
15.104869281
< 0.1%
15.994458331
< 0.1%
16.009894761
< 0.1%
16.078544911
< 0.1%
16.18607221
< 0.1%
16.490390491
< 0.1%
16.502827571
< 0.1%
16.63126251
< 0.1%
16.927597881
< 0.1%
17.774393761
< 0.1%
ValueCountFrequency (%)
7041.2418071
< 0.1%
6926.9222171
< 0.1%
6697.4704611
< 0.1%
6663.000741
< 0.1%
6579.1649281
< 0.1%
6405.9971011
< 0.1%
6349.5016991
< 0.1%
6029.5197941
< 0.1%
6002.5253041
< 0.1%
6000.0446331
< 0.1%

teff_flag1
Real number (ℝ)

High correlation  Missing 

Distinct844800
Distinct (%)99.7%
Missing1336991
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean4353.5961
Minimum3347.9377
Maximum21703.297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:25.158179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3347.9377
5-th percentile3663.2122
Q13831.4512
median4161.9243
Q34639.2472
95-th percentile5663.6424
Maximum21703.297
Range18355.359
Interquartile range (IQR)807.79595

Descriptive statistics

Standard deviation780.95113
Coefficient of variation (CV)0.1793807
Kurtosis15.805848
Mean4353.5961
Median Absolute Deviation (MAD)375.86254
Skewness2.9251738
Sum3.6896118 × 109
Variance609884.67
MonotonicityNot monotonic
2026-02-05T10:07:25.258998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3685.2748457
 
< 0.1%
3687.6043745
 
< 0.1%
3676.8554735
 
< 0.1%
3666.7443394
 
< 0.1%
3676.9815774
 
< 0.1%
3685.4325854
 
< 0.1%
3688.2815544
 
< 0.1%
3680.9344514
 
< 0.1%
3680.9610614
 
< 0.1%
3685.8606674
 
< 0.1%
Other values (844790)847441
38.8%
(Missing)1336991
61.2%
ValueCountFrequency (%)
3347.9377421
< 0.1%
3348.483891
< 0.1%
3349.2359691
< 0.1%
3349.9597481
< 0.1%
3351.5035561
< 0.1%
3351.8241871
< 0.1%
3351.9722951
< 0.1%
3352.5840281
< 0.1%
3352.9311681
< 0.1%
3352.9948961
< 0.1%
ValueCountFrequency (%)
21703.296831
< 0.1%
21506.028381
< 0.1%
21426.689561
< 0.1%
20862.821951
< 0.1%
20803.756451
< 0.1%
20792.663491
< 0.1%
20746.437971
< 0.1%
20340.303061
< 0.1%
19794.041151
< 0.1%
19198.249751
< 0.1%

teff_flag1_uncertainty
Real number (ℝ)

High correlation  Missing 

Distinct844800
Distinct (%)99.7%
Missing1336991
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean174.87014
Minimum16.036758
Maximum5154.3781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:25.366499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16.036758
5-th percentile61.173585
Q1107.08062
median142.42143
Q3205.37297
95-th percentile363.85873
Maximum5154.3781
Range5138.3413
Interquartile range (IQR)98.292352

Descriptive statistics

Standard deviation131.47466
Coefficient of variation (CV)0.75184168
Kurtosis44.748775
Mean174.87014
Median Absolute Deviation (MAD)45.801832
Skewness4.7052651
Sum1.4819999 × 108
Variance17285.586
MonotonicityNot monotonic
2026-02-05T10:07:25.461169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.4340467
 
< 0.1%
182.08967965
 
< 0.1%
198.27894635
 
< 0.1%
208.35362954
 
< 0.1%
192.58909124
 
< 0.1%
197.17546154
 
< 0.1%
182.26801514
 
< 0.1%
203.49880594
 
< 0.1%
191.47110614
 
< 0.1%
193.48083924
 
< 0.1%
Other values (844790)847441
38.8%
(Missing)1336991
61.2%
ValueCountFrequency (%)
16.036757711
< 0.1%
16.239217851
< 0.1%
16.556580321
< 0.1%
16.936397151
< 0.1%
16.978245561
< 0.1%
17.078052921
< 0.1%
17.191605621
< 0.1%
17.202527811
< 0.1%
17.30044011
< 0.1%
17.310640841
< 0.1%
ValueCountFrequency (%)
5154.3781061
< 0.1%
5023.9895151
< 0.1%
5003.7672551
< 0.1%
4932.9916561
< 0.1%
4893.0644581
< 0.1%
3915.3518941
< 0.1%
3593.049431
< 0.1%
3462.8946151
< 0.1%
3330.0244081
< 0.1%
3259.5526541
< 0.1%

teff_propagated
Real number (ℝ)

High correlation  Missing 

Distinct823027
Distinct (%)90.6%
Missing1276166
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean4847.0176
Minimum3496.3672
Maximum31364.074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:25.550744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3496.3672
5-th percentile3671.739
Q13882.1796
median4285.0296
Q35008.3129
95-th percentile9031.8383
Maximum31364.074
Range27867.707
Interquartile range (IQR)1126.1333

Descriptive statistics

Standard deviation1526.3588
Coefficient of variation (CV)0.3149068
Kurtosis5.8228747
Mean4847.0176
Median Absolute Deviation (MAD)476.60573
Skewness2.1223396
Sum4.4025994 × 109
Variance2329771.3
MonotonicityNot monotonic
2026-02-05T10:07:25.644935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9031.8383336295
 
1.7%
9020.9097391641
 
0.1%
9023.2265541558
 
0.1%
8996.0912551112
 
0.1%
9000.278513799
 
< 0.1%
8994.872687731
 
< 0.1%
9099.361643573
 
< 0.1%
9142.06415543
 
< 0.1%
9018.398098528
 
< 0.1%
9038.991934452
 
< 0.1%
Other values (823017)864079
39.6%
(Missing)1276166
58.4%
ValueCountFrequency (%)
3496.3672461
< 0.1%
3502.5449711
< 0.1%
3505.7358321
< 0.1%
3506.2222771
< 0.1%
3507.2543481
< 0.1%
3508.2448391
< 0.1%
3509.5369341
< 0.1%
3513.1446911
< 0.1%
3513.5415151
< 0.1%
3514.4081851
< 0.1%
ValueCountFrequency (%)
31364.0741
< 0.1%
31350.723541
< 0.1%
30715.747921
< 0.1%
29625.018251
< 0.1%
29193.038681
< 0.1%
29033.003751
< 0.1%
28952.780341
< 0.1%
28927.373081
< 0.1%
28890.35421
< 0.1%
28636.839591
< 0.1%

teff_propagated_uncertainty
Real number (ℝ)

High correlation  Missing 

Distinct823028
Distinct (%)90.6%
Missing1276166
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean523.39051
Minimum23.016472
Maximum9777.9174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:25.750136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23.016472
5-th percentile108.91034
Q1172.08118
median276.99691
Q3453.42552
95-th percentile2645.1781
Maximum9777.9174
Range9754.9009
Interquartile range (IQR)281.34434

Descriptive statistics

Standard deviation692.69049
Coefficient of variation (CV)1.3234678
Kurtosis7.7316045
Mean523.39051
Median Absolute Deviation (MAD)117.63782
Skewness2.7629078
Sum4.7540136 × 108
Variance479820.12
MonotonicityNot monotonic
2026-02-05T10:07:26.017225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2645.17813236295
 
1.7%
2662.5877531641
 
0.1%
2662.0249091558
 
0.1%
2672.713411112
 
0.1%
2672.594905799
 
< 0.1%
2672.895409731
 
< 0.1%
2661.842572573
 
< 0.1%
2615.124291543
 
< 0.1%
2662.749057528
 
< 0.1%
2574.467688452
 
< 0.1%
Other values (823018)864079
39.6%
(Missing)1276166
58.4%
ValueCountFrequency (%)
23.01647151
< 0.1%
25.206613111
< 0.1%
26.290501821
< 0.1%
26.419558771
< 0.1%
28.146448941
< 0.1%
28.908933121
< 0.1%
28.969469421
< 0.1%
29.342162821
< 0.1%
29.404016731
< 0.1%
29.508755881
< 0.1%
ValueCountFrequency (%)
9777.9173971
< 0.1%
9417.3009161
< 0.1%
9103.2166521
< 0.1%
9041.7630331
< 0.1%
8684.1997881
< 0.1%
8613.0784971
< 0.1%
8194.0635311
< 0.1%
8163.7138361
< 0.1%
8105.3282911
< 0.1%
7965.7843841
< 0.1%

teff_best
Real number (ℝ)

High correlation  Missing 

Distinct840183
Distinct (%)92.5%
Missing1276166
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean4671.4322
Minimum3347.9377
Maximum31125.298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:26.111498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3347.9377
5-th percentile3669.3194
Q13834.8336
median4207.9413
Q34764.9154
95-th percentile9031.8383
Maximum31125.298
Range27777.36
Interquartile range (IQR)930.0818

Descriptive statistics

Standard deviation1423.6983
Coefficient of variation (CV)0.30476699
Kurtosis6.2856509
Mean4671.4322
Median Absolute Deviation (MAD)428.81242
Skewness2.4327326
Sum4.2431133 × 109
Variance2026917
MonotonicityNot monotonic
2026-02-05T10:07:26.209320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9031.8383336295
 
1.7%
9020.9097391641
 
0.1%
9023.2265541558
 
0.1%
8996.0912551112
 
0.1%
9000.278513799
 
< 0.1%
8994.872687731
 
< 0.1%
9099.361643573
 
< 0.1%
9142.06415543
 
< 0.1%
9018.398098528
 
< 0.1%
9038.991934452
 
< 0.1%
Other values (840173)864079
39.6%
(Missing)1276166
58.4%
ValueCountFrequency (%)
3347.9377421
< 0.1%
3348.483891
< 0.1%
3349.2359691
< 0.1%
3349.9597481
< 0.1%
3351.5035561
< 0.1%
3351.8241871
< 0.1%
3351.9722951
< 0.1%
3352.5840281
< 0.1%
3352.9311681
< 0.1%
3352.9948961
< 0.1%
ValueCountFrequency (%)
31125.297661
< 0.1%
31120.191511
< 0.1%
31093.736771
< 0.1%
31044.425781
< 0.1%
30901.078091
< 0.1%
29471.962221
< 0.1%
29320.700171
< 0.1%
28331.57181
< 0.1%
28281.322771
< 0.1%
26585.844411
< 0.1%

teff_best_uncertainty
Real number (ℝ)

High correlation  Missing 

Distinct840183
Distinct (%)92.5%
Missing1276166
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean337.07285
Minimum13.03874
Maximum5233.0474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 MiB
2026-02-05T10:07:26.310843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum13.03874
5-th percentile52.988932
Q1103.31563
median138.1932
Q3210.92244
95-th percentile2645.1781
Maximum5233.0474
Range5220.0086
Interquartile range (IQR)107.60681

Descriptive statistics

Standard deviation665.10958
Coefficient of variation (CV)1.9731924
Kurtosis10.873754
Mean337.07285
Median Absolute Deviation (MAD)49.149883
Skewness3.4512583
Sum3.0616698 × 108
Variance442370.75
MonotonicityNot monotonic
2026-02-05T10:07:26.411220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2645.17813236295
 
1.7%
2662.5877531641
 
0.1%
2662.0249091558
 
0.1%
2672.713411112
 
0.1%
2672.594905799
 
< 0.1%
2672.895409731
 
< 0.1%
2661.842572573
 
< 0.1%
2615.124291543
 
< 0.1%
2662.749057528
 
< 0.1%
2574.467688452
 
< 0.1%
Other values (840173)864079
39.6%
(Missing)1276166
58.4%
ValueCountFrequency (%)
13.038739831
< 0.1%
13.507425971
< 0.1%
13.874843211
< 0.1%
14.372272261
< 0.1%
14.89978431
< 0.1%
15.104869281
< 0.1%
15.277955951
< 0.1%
15.366980961
< 0.1%
15.406249221
< 0.1%
15.994458331
< 0.1%
ValueCountFrequency (%)
5233.0473811
 
< 0.1%
5161.1221791
 
< 0.1%
5154.3781061
 
< 0.1%
5054.894621
 
< 0.1%
5027.0408764
< 0.1%
5023.9895151
 
< 0.1%
4932.9916561
 
< 0.1%
4915.3188461
 
< 0.1%
4792.5880711
 
< 0.1%
4766.5358051
 
< 0.1%

Interactions

2026-02-05T10:07:14.183886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:44.215922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:47.531114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:49.652357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:52.250990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:54.962036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:57.612575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:00.324748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:03.294762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:05.936837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:08.667574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:11.438600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:14.371691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:44.638204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:47.989443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:49.845587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:52.439621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:55.156468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:57.814071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:00.525254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:03.480075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:06.129032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:08.864085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:11.637758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:14.600098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:44.887860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:48.191948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:50.031310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:52.668440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:55.347524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:58.028142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:00.720432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:03.657945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:06.312135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:09.054653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:11.856834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:14.835611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:45.125289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:48.328711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:50.244172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:52.866883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:55.562785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:58.255313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:00.954548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:03.878226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:06.533889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:09.290991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:12.084302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:15.066427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:45.375199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:48.467666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:50.466888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:53.097375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:55.756946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:58.482858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:01.197817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:04.102846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:06.777074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:09.524951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:12.326285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:15.301606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:45.623524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:48.606197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:50.684980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:53.331290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:55.966805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:58.690507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:01.424444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:04.331492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:06.993241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:09.752869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:12.545241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:15.533119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:45.885776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:48.759676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:50.904512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:53.561884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:56.241455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:58.917723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:01.621445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:04.570898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:07.215070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:09.987597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:12.779691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:15.772159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:46.112366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:48.908571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:51.147614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:53.815077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:56.487359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:59.171097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:02.066717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:04.770506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:07.465884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:10.243395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:13.025052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:16.036435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:46.369699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:49.042950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:51.364818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:54.042507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:56.717923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:59.398319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:02.310502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:04.988810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:07.698948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:10.503957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:13.286926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:16.278980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:46.610606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:49.184794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:51.579326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:54.269275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:56.932774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:59.621300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:02.541482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:05.220506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:07.940142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:10.728586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:13.521167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:16.511062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:46.844373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:49.322563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:51.806914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:54.499651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:57.170320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:59.849194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:02.777318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:05.449814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:08.192780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:10.964460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:13.724809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:16.714938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:47.072234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:49.452844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:52.021336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:54.735439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:06:57.389507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:00.091310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:03.012709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:05.671401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:08.423011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:11.203947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T10:07:13.950552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-02-05T10:07:26.492902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
source_idteff_bestteff_best_uncertaintyteff_clusteringteff_clustering_uncertaintyteff_flag1teff_flag1_uncertaintyteff_gaia_originalteff_logteff_log_uncertaintyteff_propagatedteff_propagated_uncertainty
source_id1.000-0.051-0.037-0.033-0.022-0.028-0.007-0.017-0.030-0.040-0.053-0.068
teff_best-0.0511.0000.3540.9570.4380.9970.177NaN0.9660.4460.9680.342
teff_best_uncertainty-0.0370.3541.0000.2750.7910.2060.968NaN0.2470.8220.4000.696
teff_clustering-0.0330.9570.2751.0000.5430.9540.235NaN0.9920.5480.9890.312
teff_clustering_uncertainty-0.0220.4380.7910.5431.0000.4370.749NaN0.5060.8970.5090.672
teff_flag1-0.0280.9970.2060.9540.4371.0000.183NaN0.9620.4440.9590.189
teff_flag1_uncertainty-0.0070.1770.9680.2350.7490.1831.000NaN0.2090.7580.2250.579
teff_gaia_original-0.017NaNNaNNaNNaNNaNNaN1.000NaNNaNNaNNaN
teff_log-0.0300.9660.2470.9920.5060.9620.209NaN1.0000.5230.9940.282
teff_log_uncertainty-0.0400.4460.8220.5480.8970.4440.758NaN0.5231.0000.5360.802
teff_propagated-0.0530.9680.4000.9890.5090.9590.225NaN0.9940.5361.0000.444
teff_propagated_uncertainty-0.0680.3420.6960.3120.6720.1890.579NaN0.2820.8020.4441.000

Missing values

2026-02-05T10:07:16.918818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-02-05T10:07:18.474413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2026-02-05T10:07:21.931922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

source_idteff_gaia_originalteff_clusteringteff_clustering_uncertaintyteff_logteff_log_uncertaintyteff_flag1teff_flag1_uncertaintyteff_propagatedteff_propagated_uncertaintyteff_bestteff_best_uncertainty
046626164993792<NA>4342.719202344.7376914333.702422107.1708914340.928164105.5011674353.590507147.3403734340.928164105.501167
11044879647174403621.25293NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21385771205843206317.194336NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
31602194602923524596.814453NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
42035513857017604162.13916NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
52787605579960326881.932129NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
65447435876817927291.723145NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
76085152622008326964.344727NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
87326569969300485012.145508NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
91007152651082368<NA>5226.475786649.9360175392.101984275.3416465463.538408245.9188665334.858165303.8390075463.538408245.918866
source_idteff_gaia_originalteff_clusteringteff_clustering_uncertaintyteff_logteff_log_uncertaintyteff_flag1teff_flag1_uncertaintyteff_propagatedteff_propagated_uncertaintyteff_bestteff_best_uncertainty
218446769173658532452599045447.230957NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
218446869173715956164334084794.927734NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
218446969173730000695056644598.081543NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
218447069174619273678853125674.800293NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
218447169174695165755127045939.567871NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
218447269174707234608938245243.59668NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
218447369175010931754398725206.659668NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21844746917522774170505472<NA>4435.883387104.1395104442.809791118.2554384456.69304391.2427674423.716058134.2157564456.69304391.242767
21844756917527794986540928<NA>6878.951604943.3312726631.840086543.3183746148.968925155.9775596869.6319071313.7783616148.968925155.977559
218447669175278937701900805976.354004NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN